Mac16,10
Geekbench AI Score
4491
Single Precision Score
36795
Half Precision Score
53145
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 17 2024 05:00 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,10 |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1919
356.9 IPS |
|
|
Image Classification (HP)
|
100% |
18402
3.42 KIPS |
|
|
Image Classification (Q)
|
97% |
29192
5.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2056
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21167
343.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
29836
483.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9800
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123354
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
230722
270.4 IPS |
|
|
Object Detection (SP)
|
100% |
2156
171.0 IPS |
|
|
Object Detection (HP)
|
100% |
18536
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26916
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3588
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
40248
478.2 IPS |
|
|
Face Detection (Q)
|
100% |
60290
716.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7870
60.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
97793
753.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
167901
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
23461
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
230469
296.3 IPS |
|
|
Style Transfer (Q)
|
96% |
293334
378.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5461
201.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49341
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88261
3.26 KIPS |
|
|
Text Classification (SP)
|
100% |
2992
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
7049
9.41 KIPS |
|
|
Text Classification (Q)
|
93% |
7073
9.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3705
63.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16190
278.9 IPS |
|
|
Machine Translation (Q)
|
98% |
17928
309.8 IPS |
